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    <div class='section' id='section-0'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-0'>#</a>
            </div>
            <h1>NLP model trainer for classification</h1>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">11</span><span></span><span class="kn">from</span> <span class="nn">collections</span> <span class="kn">import</span> <span class="n">Counter</span>
<span class="lineno">12</span><span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Callable</span>
<span class="lineno">13</span>
<span class="lineno">14</span><span class="kn">import</span> <span class="nn">torchtext</span>
<span class="lineno">15</span><span class="kn">import</span> <span class="nn">torchtext.vocab</span>
<span class="lineno">16</span><span class="kn">from</span> <span class="nn">torchtext.vocab</span> <span class="kn">import</span> <span class="n">Vocab</span>
<span class="lineno">17</span>
<span class="lineno">18</span><span class="kn">import</span> <span class="nn">torch</span>
<span class="lineno">19</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">lab</span><span class="p">,</span> <span class="n">tracker</span><span class="p">,</span> <span class="n">monit</span>
<span class="lineno">20</span><span class="kn">from</span> <span class="nn">labml.configs</span> <span class="kn">import</span> <span class="n">option</span>
<span class="lineno">21</span><span class="kn">from</span> <span class="nn">labml_nn.helpers.device</span> <span class="kn">import</span> <span class="n">DeviceConfigs</span>
<span class="lineno">22</span><span class="kn">from</span> <span class="nn">labml_nn.helpers.metrics</span> <span class="kn">import</span> <span class="n">Accuracy</span>
<span class="lineno">23</span><span class="kn">from</span> <span class="nn">labml_nn.helpers.trainer</span> <span class="kn">import</span> <span class="n">TrainValidConfigs</span><span class="p">,</span> <span class="n">BatchIndex</span>
<span class="lineno">24</span><span class="kn">from</span> <span class="nn">labml_nn.optimizers.configs</span> <span class="kn">import</span> <span class="n">OptimizerConfigs</span>
<span class="lineno">25</span><span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">nn</span>
<span class="lineno">26</span><span class="kn">from</span> <span class="nn">torch.utils.data</span> <span class="kn">import</span> <span class="n">DataLoader</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-1'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-1'>#</a>
            </div>
            <p> <a id="NLPClassificationConfigs"></a></p>
<h2>Trainer configurations</h2>
<p>This has the basic configurations for NLP classification task training. All the properties are configurable.</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">29</span><span class="k">class</span> <span class="nc">NLPClassificationConfigs</span><span class="p">(</span><span class="n">TrainValidConfigs</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-2'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-2'>#</a>
            </div>
            <p>Optimizer </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">40</span>    <span class="n">optimizer</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">optim</span><span class="o">.</span><span class="n">Adam</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-3'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-3'>#</a>
            </div>
            <p>Training device </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">42</span>    <span class="n">device</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span> <span class="o">=</span> <span class="n">DeviceConfigs</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-4'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-4'>#</a>
            </div>
            <p>Autoregressive model </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">45</span>    <span class="n">model</span><span class="p">:</span> <span class="n">nn</span><span class="o">.</span><span class="n">Module</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-5'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-5'>#</a>
            </div>
            <p>Batch size </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">47</span>    <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-6'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-6'>#</a>
            </div>
            <p>Length of the sequence, or context size </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">49</span>    <span class="n">seq_len</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">512</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-7'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-7'>#</a>
            </div>
            <p>Vocabulary </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">51</span>    <span class="n">vocab</span><span class="p">:</span> <span class="n">Vocab</span> <span class="o">=</span> <span class="s1">&#39;ag_news&#39;</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-8'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-8'>#</a>
            </div>
            <p>Number of token in vocabulary </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">53</span>    <span class="n">n_tokens</span><span class="p">:</span> <span class="nb">int</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-9'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-9'>#</a>
            </div>
            <p>Number of classes </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">55</span>    <span class="n">n_classes</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="s1">&#39;ag_news&#39;</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-10'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-10'>#</a>
            </div>
            <p>Tokenizer </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">57</span>    <span class="n">tokenizer</span><span class="p">:</span> <span class="n">Callable</span> <span class="o">=</span> <span class="s1">&#39;character&#39;</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-11'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-11'>#</a>
            </div>
            <p>Whether to periodically save models </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">60</span>    <span class="n">is_save_models</span> <span class="o">=</span> <span class="kc">True</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-12'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-12'>#</a>
            </div>
            <p>Loss function </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">63</span>    <span class="n">loss_func</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">CrossEntropyLoss</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-13'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-13'>#</a>
            </div>
            <p>Accuracy function </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">65</span>    <span class="n">accuracy</span> <span class="o">=</span> <span class="n">Accuracy</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-14'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-14'>#</a>
            </div>
            <p>Model embedding size </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">67</span>    <span class="n">d_model</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">512</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-15'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-15'>#</a>
            </div>
            <p>Gradient clipping </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">69</span>    <span class="n">grad_norm_clip</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1.0</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-16'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-16'>#</a>
            </div>
            <p>Training data loader </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">72</span>    <span class="n">train_loader</span><span class="p">:</span> <span class="n">DataLoader</span> <span class="o">=</span> <span class="s1">&#39;ag_news&#39;</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-17'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-17'>#</a>
            </div>
            <p>Validation data loader </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">74</span>    <span class="n">valid_loader</span><span class="p">:</span> <span class="n">DataLoader</span> <span class="o">=</span> <span class="s1">&#39;ag_news&#39;</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-18'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-18'>#</a>
            </div>
            <p>Whether to log model parameters and gradients (once per epoch). These are summarized stats per layer, but it could still lead to many indicators for very deep networks. </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">79</span>    <span class="n">is_log_model_params_grads</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-19'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-19'>#</a>
            </div>
            <p>Whether to log model activations (once per epoch). These are summarized stats per layer, but it could still lead to many indicators for very deep networks. </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">84</span>    <span class="n">is_log_model_activations</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-20'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-20'>#</a>
            </div>
            <h3>Initialization</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">86</span>    <span class="k">def</span> <span class="nf">init</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-21'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-21'>#</a>
            </div>
            <p>Set tracker configurations </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">91</span>        <span class="n">tracker</span><span class="o">.</span><span class="n">set_scalar</span><span class="p">(</span><span class="s2">&quot;accuracy.*&quot;</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span>
<span class="lineno">92</span>        <span class="n">tracker</span><span class="o">.</span><span class="n">set_scalar</span><span class="p">(</span><span class="s2">&quot;loss.*&quot;</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-22'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-22'>#</a>
            </div>
            <p>Add accuracy as a state module. The name is probably confusing, since it&#x27;s meant to store states between training and validation for RNNs. This will keep the accuracy metric stats separate for training and validation. </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">97</span>        <span class="bp">self</span><span class="o">.</span><span class="n">state_modules</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">accuracy</span><span class="p">]</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-23'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-23'>#</a>
            </div>
            <h3>Training or validation step</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">99</span>    <span class="k">def</span> <span class="nf">step</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">:</span> <span class="nb">any</span><span class="p">,</span> <span class="n">batch_idx</span><span class="p">:</span> <span class="n">BatchIndex</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-24'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-24'>#</a>
            </div>
            <p>Move data to the device </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">105</span>        <span class="n">data</span><span class="p">,</span> <span class="n">target</span> <span class="o">=</span> <span class="n">batch</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">),</span> <span class="n">batch</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-25'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-25'>#</a>
            </div>
            <p>Update global step (number of tokens processed) when in training mode </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">108</span>        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="o">.</span><span class="n">is_train</span><span class="p">:</span>
<span class="lineno">109</span>            <span class="n">tracker</span><span class="o">.</span><span class="n">add_global_step</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-26'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-26'>#</a>
            </div>
            <p>Get model outputs. It&#x27;s returning a tuple for states when using RNNs. This is not implemented yet. 😜 </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">114</span>        <span class="n">output</span><span class="p">,</span> <span class="o">*</span><span class="n">_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="n">data</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-27'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-27'>#</a>
            </div>
            <p>Calculate and log loss </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">117</span>        <span class="n">loss</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">loss_func</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">target</span><span class="p">)</span>
<span class="lineno">118</span>        <span class="n">tracker</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="s2">&quot;loss.&quot;</span><span class="p">,</span> <span class="n">loss</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-28'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-28'>#</a>
            </div>
            <p>Calculate and log accuracy </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">121</span>        <span class="bp">self</span><span class="o">.</span><span class="n">accuracy</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">target</span><span class="p">)</span>
<span class="lineno">122</span>        <span class="bp">self</span><span class="o">.</span><span class="n">accuracy</span><span class="o">.</span><span class="n">track</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-29'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-29'>#</a>
            </div>
            <p>Train the model </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">125</span>        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="o">.</span><span class="n">is_train</span><span class="p">:</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-30'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-30'>#</a>
            </div>
            <p>Calculate gradients </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">127</span>            <span class="n">loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-31'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-31'>#</a>
            </div>
            <p>Clip gradients </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">129</span>            <span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">clip_grad_norm_</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">max_norm</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grad_norm_clip</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-32'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-32'>#</a>
            </div>
            <p>Take optimizer step </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">131</span>            <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-33'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-33'>#</a>
            </div>
            <p>Log the model parameters and gradients on last batch of every epoch </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">133</span>            <span class="k">if</span> <span class="n">batch_idx</span><span class="o">.</span><span class="n">is_last</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_log_model_params_grads</span><span class="p">:</span>
<span class="lineno">134</span>                <span class="n">tracker</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="s1">&#39;model&#39;</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-34'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-34'>#</a>
            </div>
            <p>Clear the gradients </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">136</span>            <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-35'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-35'>#</a>
            </div>
            <p>Save the tracked metrics </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">139</span>        <span class="n">tracker</span><span class="o">.</span><span class="n">save</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-36'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-36'>#</a>
            </div>
            <h3>Default <a href="../optimizers/configs.html">optimizer configurations</a></h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">142</span><span class="nd">@option</span><span class="p">(</span><span class="n">NLPClassificationConfigs</span><span class="o">.</span><span class="n">optimizer</span><span class="p">)</span>
<span class="lineno">143</span><span class="k">def</span> <span class="nf">_optimizer</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">NLPClassificationConfigs</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-37'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-37'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">148</span>    <span class="n">optimizer</span> <span class="o">=</span> <span class="n">OptimizerConfigs</span><span class="p">()</span>
<span class="lineno">149</span>    <span class="n">optimizer</span><span class="o">.</span><span class="n">parameters</span> <span class="o">=</span> <span class="n">c</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">()</span>
<span class="lineno">150</span>    <span class="n">optimizer</span><span class="o">.</span><span class="n">optimizer</span> <span class="o">=</span> <span class="s1">&#39;Adam&#39;</span>
<span class="lineno">151</span>    <span class="n">optimizer</span><span class="o">.</span><span class="n">d_model</span> <span class="o">=</span> <span class="n">c</span><span class="o">.</span><span class="n">d_model</span>
<span class="lineno">152</span>
<span class="lineno">153</span>    <span class="k">return</span> <span class="n">optimizer</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-38'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-38'>#</a>
            </div>
            <h3>Basic english tokenizer</h3>
<p>We use character level tokenizer in this experiment. You can switch by setting,</p>
<pre  class="highlight lang-"><code><span></span><span class="s1">&#39;tokenizer&#39;</span><span class="p">:</span> <span class="s1">&#39;basic_english&#39;</span><span class="p">,</span></code></pre>
<p>in the configurations dictionary when starting the experiment.</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">156</span><span class="nd">@option</span><span class="p">(</span><span class="n">NLPClassificationConfigs</span><span class="o">.</span><span class="n">tokenizer</span><span class="p">)</span>
<span class="lineno">157</span><span class="k">def</span> <span class="nf">basic_english</span><span class="p">():</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-39'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-39'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">171</span>    <span class="kn">from</span> <span class="nn">torchtext.data</span> <span class="kn">import</span> <span class="n">get_tokenizer</span>
<span class="lineno">172</span>    <span class="k">return</span> <span class="n">get_tokenizer</span><span class="p">(</span><span class="s1">&#39;basic_english&#39;</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-40'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-40'>#</a>
            </div>
            <h3>Character level tokenizer</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">175</span><span class="k">def</span> <span class="nf">character_tokenizer</span><span class="p">(</span><span class="n">x</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-41'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-41'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">179</span>    <span class="k">return</span> <span class="nb">list</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-42'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-42'>#</a>
            </div>
            <p> Character level tokenizer configuration</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">182</span><span class="nd">@option</span><span class="p">(</span><span class="n">NLPClassificationConfigs</span><span class="o">.</span><span class="n">tokenizer</span><span class="p">)</span>
<span class="lineno">183</span><span class="k">def</span> <span class="nf">character</span><span class="p">():</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-43'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-43'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">187</span>    <span class="k">return</span> <span class="n">character_tokenizer</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-44'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-44'>#</a>
            </div>
            <p> Get number of tokens</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">190</span><span class="nd">@option</span><span class="p">(</span><span class="n">NLPClassificationConfigs</span><span class="o">.</span><span class="n">n_tokens</span><span class="p">)</span>
<span class="lineno">191</span><span class="k">def</span> <span class="nf">_n_tokens</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">NLPClassificationConfigs</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-45'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-45'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">195</span>    <span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">vocab</span><span class="p">)</span> <span class="o">+</span> <span class="mi">2</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-46'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-46'>#</a>
            </div>
            <h2>Function to load data into batches</h2>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">198</span><span class="k">class</span> <span class="nc">CollateFunc</span><span class="p">:</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-47'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-47'>#</a>
            </div>
            <ul><li><code  class="highlight"><span></span><span class="n">tokenizer</span></code>
 is the tokenizer function </li>
<li><code  class="highlight"><span></span><span class="n">vocab</span></code>
 is the vocabulary </li>
<li><code  class="highlight"><span></span><span class="n">seq_len</span></code>
 is the length of the sequence </li>
<li><code  class="highlight"><span></span><span class="n">padding_token</span></code>
 is the token used for padding when the <code  class="highlight"><span></span><span class="n">seq_len</span></code>
 is larger than the text length </li>
<li><code  class="highlight"><span></span><span class="n">classifier_token</span></code>
 is the <code  class="highlight"><span></span><span class="p">[</span><span class="n">CLS</span><span class="p">]</span></code>
 token which we set at end of the input</li></ul>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">203</span>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">tokenizer</span><span class="p">,</span> <span class="n">vocab</span><span class="p">:</span> <span class="n">Vocab</span><span class="p">,</span> <span class="n">seq_len</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">padding_token</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">classifier_token</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-48'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-48'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">211</span>        <span class="bp">self</span><span class="o">.</span><span class="n">classifier_token</span> <span class="o">=</span> <span class="n">classifier_token</span>
<span class="lineno">212</span>        <span class="bp">self</span><span class="o">.</span><span class="n">padding_token</span> <span class="o">=</span> <span class="n">padding_token</span>
<span class="lineno">213</span>        <span class="bp">self</span><span class="o">.</span><span class="n">seq_len</span> <span class="o">=</span> <span class="n">seq_len</span>
<span class="lineno">214</span>        <span class="bp">self</span><span class="o">.</span><span class="n">vocab</span> <span class="o">=</span> <span class="n">vocab</span>
<span class="lineno">215</span>        <span class="bp">self</span><span class="o">.</span><span class="n">tokenizer</span> <span class="o">=</span> <span class="n">tokenizer</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-49'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-49'>#</a>
            </div>
            <ul><li><code  class="highlight"><span></span><span class="n">batch</span></code>
 is the batch of data collected by the <code  class="highlight"><span></span><span class="n">DataLoader</span></code>
</li></ul>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">217</span>    <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-50'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-50'>#</a>
            </div>
            <p>Input data tensor, initialized with <code  class="highlight"><span></span><span class="n">padding_token</span></code>
 </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">223</span>        <span class="n">data</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">full</span><span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">seq_len</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">batch</span><span class="p">)),</span> <span class="bp">self</span><span class="o">.</span><span class="n">padding_token</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">long</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-51'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-51'>#</a>
            </div>
            <p>Empty labels tensor </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">225</span>        <span class="n">labels</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">batch</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">long</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-52'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-52'>#</a>
            </div>
            <p>Loop through the samples </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">228</span>        <span class="k">for</span> <span class="p">(</span><span class="n">i</span><span class="p">,</span> <span class="p">(</span><span class="n">_label</span><span class="p">,</span> <span class="n">_text</span><span class="p">))</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">batch</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-53'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-53'>#</a>
            </div>
            <p>Set the label </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">230</span>            <span class="n">labels</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">_label</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-54'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-54'>#</a>
            </div>
            <p>Tokenize the input text </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">232</span>            <span class="n">_text</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">vocab</span><span class="p">[</span><span class="n">token</span><span class="p">]</span> <span class="k">for</span> <span class="n">token</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">tokenizer</span><span class="p">(</span><span class="n">_text</span><span class="p">)]</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-55'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-55'>#</a>
            </div>
            <p>Truncate upto <code  class="highlight"><span></span><span class="n">seq_len</span></code>
 </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">234</span>            <span class="n">_text</span> <span class="o">=</span> <span class="n">_text</span><span class="p">[:</span><span class="bp">self</span><span class="o">.</span><span class="n">seq_len</span><span class="p">]</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-56'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-56'>#</a>
            </div>
            <p>Transpose and add to data </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">236</span>            <span class="n">data</span><span class="p">[:</span><span class="nb">len</span><span class="p">(</span><span class="n">_text</span><span class="p">),</span> <span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">new_tensor</span><span class="p">(</span><span class="n">_text</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-57'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-57'>#</a>
            </div>
            <p>Set the final token in the sequence to <code  class="highlight"><span></span><span class="p">[</span><span class="n">CLS</span><span class="p">]</span></code>
 </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">239</span>        <span class="n">data</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="p">:]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">classifier_token</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-58'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-58'>#</a>
            </div>
            <p> </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">242</span>        <span class="k">return</span> <span class="n">data</span><span class="p">,</span> <span class="n">labels</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-59'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-59'>#</a>
            </div>
            <h3>AG News dataset</h3>
<p>This loads the AG News dataset and the set the values for  <code  class="highlight"><span></span><span class="n">n_classes</span></code>
, <code  class="highlight"><span></span><span class="n">vocab</span></code>
, <code  class="highlight"><span></span><span class="n">train_loader</span></code>
, and <code  class="highlight"><span></span><span class="n">valid_loader</span></code>
.</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">245</span><span class="nd">@option</span><span class="p">([</span><span class="n">NLPClassificationConfigs</span><span class="o">.</span><span class="n">n_classes</span><span class="p">,</span>
<span class="lineno">246</span>         <span class="n">NLPClassificationConfigs</span><span class="o">.</span><span class="n">vocab</span><span class="p">,</span>
<span class="lineno">247</span>         <span class="n">NLPClassificationConfigs</span><span class="o">.</span><span class="n">train_loader</span><span class="p">,</span>
<span class="lineno">248</span>         <span class="n">NLPClassificationConfigs</span><span class="o">.</span><span class="n">valid_loader</span><span class="p">])</span>
<span class="lineno">249</span><span class="k">def</span> <span class="nf">ag_news</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">NLPClassificationConfigs</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-60'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-60'>#</a>
            </div>
            <p>Get training and validation datasets </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">258</span>    <span class="n">train</span><span class="p">,</span> <span class="n">valid</span> <span class="o">=</span> <span class="n">torchtext</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">AG_NEWS</span><span class="p">(</span><span class="n">root</span><span class="o">=</span><span class="nb">str</span><span class="p">(</span><span class="n">lab</span><span class="o">.</span><span class="n">get_data_path</span><span class="p">()</span> <span class="o">/</span> <span class="s1">&#39;ag_news&#39;</span><span class="p">),</span> <span class="n">split</span><span class="o">=</span><span class="p">(</span><span class="s1">&#39;train&#39;</span><span class="p">,</span> <span class="s1">&#39;test&#39;</span><span class="p">))</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-61'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-61'>#</a>
            </div>
            <p>Load data to memory </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">261</span>    <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s1">&#39;Load data&#39;</span><span class="p">):</span>
<span class="lineno">262</span>        <span class="kn">from</span> <span class="nn">labml_nn.utils</span> <span class="kn">import</span> <span class="n">MapStyleDataset</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-62'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-62'>#</a>
            </div>
            <p>Create <a href="../utils.html#map_style_dataset">map-style datasets</a> </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">265</span>        <span class="n">train</span><span class="p">,</span> <span class="n">valid</span> <span class="o">=</span> <span class="n">MapStyleDataset</span><span class="p">(</span><span class="n">train</span><span class="p">),</span> <span class="n">MapStyleDataset</span><span class="p">(</span><span class="n">valid</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-63'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-63'>#</a>
            </div>
            <p>Get tokenizer </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">268</span>    <span class="n">tokenizer</span> <span class="o">=</span> <span class="n">c</span><span class="o">.</span><span class="n">tokenizer</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-64'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-64'>#</a>
            </div>
            <p>Create a counter </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">271</span>    <span class="n">counter</span> <span class="o">=</span> <span class="n">Counter</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-65'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-65'>#</a>
            </div>
            <p>Collect tokens from training dataset </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">273</span>    <span class="k">for</span> <span class="p">(</span><span class="n">label</span><span class="p">,</span> <span class="n">line</span><span class="p">)</span> <span class="ow">in</span> <span class="n">train</span><span class="p">:</span>
<span class="lineno">274</span>        <span class="n">counter</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">tokenizer</span><span class="p">(</span><span class="n">line</span><span class="p">))</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-66'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-66'>#</a>
            </div>
            <p>Collect tokens from validation dataset </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">276</span>    <span class="k">for</span> <span class="p">(</span><span class="n">label</span><span class="p">,</span> <span class="n">line</span><span class="p">)</span> <span class="ow">in</span> <span class="n">valid</span><span class="p">:</span>
<span class="lineno">277</span>        <span class="n">counter</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">tokenizer</span><span class="p">(</span><span class="n">line</span><span class="p">))</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-67'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-67'>#</a>
            </div>
            <p>Create vocabulary </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">279</span>    <span class="n">vocab</span> <span class="o">=</span> <span class="n">torchtext</span><span class="o">.</span><span class="n">vocab</span><span class="o">.</span><span class="n">vocab</span><span class="p">(</span><span class="n">counter</span><span class="p">,</span> <span class="n">min_freq</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-68'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-68'>#</a>
            </div>
            <p>Create training data loader </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">282</span>    <span class="n">train_loader</span> <span class="o">=</span> <span class="n">DataLoader</span><span class="p">(</span><span class="n">train</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
<span class="lineno">283</span>                              <span class="n">collate_fn</span><span class="o">=</span><span class="n">CollateFunc</span><span class="p">(</span><span class="n">tokenizer</span><span class="p">,</span> <span class="n">vocab</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">seq_len</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">vocab</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">vocab</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span><span class="p">))</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-69'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-69'>#</a>
            </div>
            <p>Create validation data loader </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">285</span>    <span class="n">valid_loader</span> <span class="o">=</span> <span class="n">DataLoader</span><span class="p">(</span><span class="n">valid</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
<span class="lineno">286</span>                              <span class="n">collate_fn</span><span class="o">=</span><span class="n">CollateFunc</span><span class="p">(</span><span class="n">tokenizer</span><span class="p">,</span> <span class="n">vocab</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">seq_len</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">vocab</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">vocab</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span><span class="p">))</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-70'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-70'>#</a>
            </div>
            <p>Return <code  class="highlight"><span></span><span class="n">n_classes</span></code>
, <code  class="highlight"><span></span><span class="n">vocab</span></code>
, <code  class="highlight"><span></span><span class="n">train_loader</span></code>
, and <code  class="highlight"><span></span><span class="n">valid_loader</span></code>
 </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">289</span>    <span class="k">return</span> <span class="mi">4</span><span class="p">,</span> <span class="n">vocab</span><span class="p">,</span> <span class="n">train_loader</span><span class="p">,</span> <span class="n">valid_loader</span></pre></div>
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